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	Provedor de dados AgEcon (2) Autor Carroll, Raymond J. (2) Hardin, James W. (2) Schmiediche, Henrik (2) Palavra-chave Generalized linear models (2) Instrumental variables (2) Measurement error (2) Replicate measures (2) Research Methods/ Statistical Methods (2) Regression calibration (1) Simulation extrapolation (1) Mais... Tipo do documento Journal Article (2) Ano 2003 (2) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última The simulation extrapolation method for fitting generalized linear models with additive measurement error AgEcon Hardin, James W.; Schmiediche, Henrik; Carroll, Raymond J.. We discuss and illustrate the method of simulation extrapolation for fitting models with additive measurement error. We present this discussion in terms of generalized linear models (GLMs) following the notation defined in Hardin and Carroll (2003). As in Hardin, Schmiediche, and Carroll (2003), our discussion includes specified measurement error and measurement error estimated by replicate error-prone proxies. In addition, we discuss and illustrate three extrapolant functions. Tipo: Journal Article Palavras-chave: Simulation extrapolation; Measurement error; Instrumental variables; Replicate measures; Generalized linear models; Research Methods/ Statistical Methods. Ano: 2003 URL: http://purl.umn.edu/116184 The regression-calibration method for fitting generalized linear models with additive measurement error AgEcon Hardin, James W.; Schmiediche, Henrik; Carroll, Raymond J.. This paper discusses and illustrates the method of regression calibration. This is a straightforward technique for fitting models with additive measurement error. We present this discussion in terms of generalized linear models (GLMs) following the notation defined in Hardin and Carroll (2003). Discussion will include specified measurement error, measurement error estimated by replicate error-prone proxies, and measurement error estimated by instrumental variables. The discussion focuses on software developed as part of a small business innovation research (SBIR) grant from the National Institutes of Health (NIH). Tipo: Journal Article Palavras-chave: Regression calibration; Measurement error; Instrumental variables; Replicate measures; Generalized linear models; Research Methods/ Statistical Methods. Ano: 2003 URL: http://purl.umn.edu/116180 Registros recuperados: 2 Primeira ... 1 ... Última

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